Michael N.
Huhns
Publications: Knowledge
Representation and Reasoning, Including Ontologies
September 14, 2025
1. John Tyler, Jon Pastor,
Michael N. Huhns, Shad Kirmani, and Hongying Du,
“Exposing, Formalizing, and Reasoning over the Latent Semantics in Tagged
Multimodal Data Sources,” Applied
Ontology, IOS Press, vol. 8, 2013, pp. 95-130. [PDF]
https://doi.org/10.3233/AO-130124
2. Jingsong Wang, John Byrnes, Marco
Valtorta, and Michael Huhns, “On the combination of logical and probabilistic
models for information analysis,” Applied
Intelligence, vol. 36, no. 2, March 2012, pp. 472-497. https://doi.org/10.1007/s10489-010-0272-x [PDF]
3. Chao Fu, Michael Huhns, and Shanlin Yang, “A consensus framework for multiple attribute
group decision analysis in an evidential reasoning context,” Information Fusion, December 2011. [PDF] https://doi.org/10.1016/j.inffus.2011.12.002 http://www.sciencedirect.com/science/article/pii/S1566253511000819
4. Jingshan Huang, Jiangbo Dang,
Michael N. Huhns, and W. Jim Zheng, “Use artificial neural network to align
biological ontologies,” BMC Genomics,
vol. 9, September 16, 2008. [PDF]
http://www.biomedcentral.com/1471-2164/9/S2/S16
5. Jingshan Huang, Jiangbo
Dang, Michael N. Huhns and Yongzhen Shao, “Ontology
Alignment as a Basis for Mobile Service Integration and Invocation,” Journal of Pervasive Computing and
Communications, vol. 3, no. 2, 2007, pp. 138-158. https://doi.org/10.1108/17427370710847282 [PDF]
6. Larry M. Stephens, Aurovinda K. Gangam, and Michael
N. Huhns, “Constructing Consensus Ontologies for the Semantic Web: A Conceptual
Approach,” World Wide Web Journal,
Kluwer Academic Publishers, vol. 7, no. 4, December 2004, pp. 421-442. [PDF]
7. Michael N. Huhns, “Being and
Acting Rational,” IEEE Internet Computing,
vol. 7, no. 2, March/April 2003, pp. 91-93. [PDF]
8. William H. Turkett Jr., John
R. Rose, and Michael N. Huhns, “Massive Deliberation,” IEEE Internet Computing, vol. 7, no. 1, January/February 2003, pp.
79-82. [PDF]
9. Larry M. Stephens and
Michael N. Huhns, “Consensus Ontologies: Reconciling the Semantics of Web Pages
and Agents,” IEEE Internet Computing,
vol. 5, no. 5, September/October 2001, pp. 92-95. [PDF]
10. Kuhanandha Mahalingam and Michael N.
Huhns, “Ontology Tools for Semantic Reconciliation in Distributed Heterogeneous
Information Environments,” Intelligent
Automation and Soft Computing (special issue on Distributed Intelligent
Systems, Mohamed Kamel and Mohammad Jamshidi, editors), vol. 6, no. 3, 2000,
pp. 1-8. [PDF]
11. Michael N. Huhns and Larry
M. Stephens, “Exploiting Expertise through Knowledge Networks,” IEEE Internet Computing, vol. 3, no. 6,
November/December 1999, pp. 90-91. [PDF]
12. Michael N. Huhns and Larry
M. Stephens, “Personal Ontologies,” IEEE
Internet Computing, vol. 3, no. 5, September/October 1999, pp. 85-87. [PDF]
13. Michael N. Huhns and Munindar P. Singh, “Ontologies for Agents,” IEEE Internet Computing, vol. 1, no. 6,
November/December 1997, pp. 81-83. [PDF]
14. Kuhanandha Mahalingam and Michael N.
Huhns, “A Tool for Organizing Web Information,” IEEE Computer, vol. 30, no. 6, June 1997, pp.80-83. 10.1109/2.587553 [PDF]
15. Munindar P. Singh and Michael N.
Huhns, “Automating Workflows for Service Order Processing: Integrating AI and
Database Technologies,” IEEE Expert,
vol. 9, no. 5, October 1994, pp. 19-23. [PDF]
16. Michael N. Huhns and David
M. Bridgeland, “Multiagent Truth Maintenance,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 21, no. 6,
December 1991, pp. 1437-1445. [PDF]
17. Michael N. Huhns and Ramon
D. Acosta, “Argo: A System for Design by Analogy,” IEEE Expert, vol. 3, no. 3, Fall 1988, pp. 53-68. [PDF]
1.
Michael N. Huhns, Marco G. Valtorta, and Jingsong Wang, “Design Principles for Ontological Support
of Bayesian Evidence Management,” Chapter 10 in Ontologies and Semantic Technologies for Intelligence, Leo Obrst,
Terry Janssen, and Werner Ceusters, eds., IOS Press, Amsterdam, The Netherlands,
2010, pp. 163-178. [PDF]
2.
Viji Avali and Michael N. Huhns, “Commitment-Based Multiagent Decision
Making,” in Cooperative Information
Agents CIA 2008, Matthias Klusch, Michal Pechoucek, and Axel Polleres,
editors, Springer, vol. LNAI 5180, Berlin, 2008, pp. 249-263. [PDF]
3.
Jingshan Huang, Jiangbo Dang, and Michael
N. Huhns, “Ontology-Based Partner Selection in Business Interaction,” in Handbook
of Ontologies for Business Interaction, Peter Rittgen, editor, Information
Science Reference, Hershey, PA, 2008, pp. 364-380. [PDF]
4. Jingshan Huang, Rosa Laura Zavala
Gutiérrez, Benito Mendoza García, and Michael N. Huhns, “Reconciling Agent
Ontologies for Web Service Applications,” in Multiagent System Technologies: Third German Conference, MATES 2005,
Torsten Eymann, Franziska Klügl, Winfried Lamersdorf,
Matthias Klusch, and Michael N. Huhns, editors, Springer Verlag, vol. LNAI
3550, Berlin, 2005, pp. 106-117. [PDF]
5. Michael N. Huhns and Larry
M. Stephens, “Semantic Bridging of Independent Enterprise Ontologies,” in Enterprise
Inter- and Intra-Organizational Integration: Building International Consensus,
Kurt Kosanke et al., editors, Kluwer Academic Publishers, Boston, MA, 2002. [PDF]
6. Michael N. Huhns, “Foreword,”
in Information Brokering over Heterogeneous Digital Data: A Metadata-Based
Approach, by Vipul Kashyap and Amit Sheth, Kluwer Academic Publishers,
Boston, MA, 2000. [PDF]
7. Michael N. Huhns and Ramon
D. Acosta, “Argo: An Analogical Reasoning System for Solving Design Problems,”
in Artificial Intelligence in Engineering
Design, Volume II, Christopher Tong and Duvvuru
Sriram, editors, Academic Press, Inc., San Diego, CA, 1992. [PDF]
8. Michael N. Huhns and David
M. Bridgeland, “Distributed Truth Maintenance,” in Cooperating Knowledge Based Systems 1990, S. M. Deen, editor,
Springer Verlag, London, England, 1991, pp. 133-147.
1. Line C. Pouchard,
Michael N. Huhns, and Thomas W. Narock, “Increasing
the Availability and Reuse of Earth Science Ontologies Using a Repository,” Proceedings of 11th International
Conference on Open Repositories, Dublin, June 2016.
http://doi.org/10.13140/RG.2.2.31843.14886.
2. Saurabh Lalwani and Michael N. Huhns, “Deriving
Ontological Structure from a Folksonomy,” Proc.
47th Annual ACM Southeast Conference, Clemson, SC, USA, March
19-21, 2009. [PDF]
3. Michael N. Huhns and Marco
G. Valtorta, “Ontological Support for Bayesian
Evidence Management,” in Ontology for the
Intelligence Community: Towards Effective Exploitation and Integration of
Intelligence Resources (OIC 2007), Columbia, MD, November 2007, pp. 47-52. [PDF]
4. Marco Valtorta, John Byrnes,
and Michael N. Huhns, “Logical and Probabilistic Reasoning to Support
Information Analysis in Uncertain Domains,” Progic Workshop on Probability and Logic, Canterbury, UK, July 2007. [PDF]
5. Jingshan Huang, Jiangbo
Dang, Jose M. Vidal, and Michael N. Huhns, “Ontology Matching Using an
Artificial Neural Network to Learn Weights,” Proc. IJCAI Workshop on
Semantic Web for Collaborative Knowledge Acquisition (SWeCKa-07),
6. Hong Jiang and Michael N.
Huhns, “Broadening the Semantic Coverage of Agent Communicative Acts,” Agent-Oriented Information Systems III, Springer
Verlag, Lecture Notes in Computer Science, vol. 3529, November 2006, pp. 32-47.
7. Jingshan Huang and Michael N. Huhns,
“Superconcept Formation System–An Ontology Matching
Algorithm for Service Discovery,” Proc.
Service Discovery on the WWW Workshop
(sdisco’06),
8. Jingshan Huang, Jiangbo
Dang, and Michael N. Huhns, “Ontology Reconciliation for Service-Oriented
Computing,” Proc. IEEE International Conference on Services
Computing, Chicago, IL, September 2006, pp. 3-10. [PDF] [First Runner-up for Best
Student Paper]
9. Jingshan Huang, Jiangbo
Dang, and Michael N. Huhns, “Reconciling Ontologies for Coordination among
E-business Agents,” Proc. AAMAS Workshop on Business Agents and the Semantic Web,
10. Stephen
V. Cole, Matthew D. Royal, Marco G. Valtorta, Michael N. Huhns, and John
B. Bowles, “A Lightweight Tool for Automatically Extracting Causal Relationships
from Text,” Proceedings of IEEE Southeastcon,
March 2006, pp. 125-129. [PDF]
11. Hong Jiang and Michael N.
Huhns, “An Approach to Broaden the Semantic Coverage of ACL Speech Acts,” Seventh International Bi-Conference Workshop
on Agent-Oriented Information Systems (AOIS-2005), Klagenfurt, Austria, Springer
Verlag, Lecture Notes in Computer Science, vol. 3770, October 2005, pp. 162-171.
[PDF]
12. Jingshan Huang, Laura Zavala, Benito
Mendoza, and Michael N. Huhns, “Sharing Ontology Schema Information for Web
Service Integration,” Proc. 5th
International Conference on Computer and Information Technology, Shanghai,
China, September 2005, pp. 1056-1062. [PDF]
13. Jingshan Huang, Laura Zavala, Benito
Mendoza, and Michael N. Huhns, “A Schema-Based Approach Combined with
Inter-Ontology Reasoning to Construct Consensus Ontologies,” Proc. AAAI Workshop on Contexts and
Ontologies: Theory, Practice and Applications, Technical Report
WS-05-01, AAAI Press, Menlo Park, CA, July 2005, pp. 80-87. [PDF]
14. Marco
Valtorta, Jiangbo Dang, Hrishikesh Goradia, Jingshan Huang, and Michael Huhns, “Extending Heuer’s Analysis
of Competing Hypotheses Method to Support Complex Decision Analysis,” International
Conference on Intelligence Analysis Methods and Tools, May
2005. [PDF]
15. Larry M. Stephens, Aurovinda K. Gangam, and Michael
N. Huhns, “Developing Consensus Ontologies for the Semantic Web,” in Proceedings
of the Workshop on Semantic Integration,
Sanibel Island, FL, October 2003, pp. 86-92. [PDF]
16. Michael N. Huhns and Larry M. Stephens, “Consensus
Ontologies: Reconciling
17. Kuhanandha Mahalingam and Michael N.
Huhns, “An Ontology Tool for Query Formulation in an Agent-Based Context,” in Proceedings International Conference on
Cooperating Information Systems, Kiawah Island, SC, June 1997. [PDF]
18. Michael N. Huhns and Larry M. Stephens, “Plausible
Inferencing Using Extended Composition,” in Proceedings
of IJCAI-89, Detroit, MI, August 1989, pp.1420-1425. [PDF]
19. Michael N. Huhns and C. J. Petrie Jr., “Controlling
Forward Rule Instances,” in
20. Michael N. Huhns and Ramon
D. Acosta, “Formulating and Retrieving Knowledge through Abstraction Extensions
to Explanation Based Learning,” in Proceedings
AAAI Spring Symposium on Explanation-Based Learning, Stanford, CA, March
1988, pp. 117-121.
21. Ramon D. Acosta and Michael
N. Huhns, “Design by Analogy Using Plan Abstractions,” in Proceedings AAAI-88 Workshop on AI and Design, 1988. [PDF]
22. Michael N. Huhns and Ramon
D. Acosta, “Argo: A System for Design by Analogy,” in Proceedings of the Fourth Conference on Artificial Intelligence
Applications, San Diego, CA, March 1988, pp. 146-151. [PDF] [Best Paper Award]
23. Ramon D. Acosta, Michael N.
Huhns, and Shiuh-li Liuh, “Analogical
Reasoning for Digital System Synthesis,” in IEEE
International Conference on Computer-Aided Design, Santa Clara, CA,
November 1986, pp. 173-176. [PDF]
1. Line C. Pouchard,
Michael N. Huhns, and Thomas W. Narock, “Working with
a Community-based Organization to Support an Ontology Infrastructure,” abstract
and presentation at Coalition for
Networked Information Spring 2016 Meeting, San Antonio, TX, April 2016.
2.
Marco Valtorta, John Byrnes, Michael Huhns,
and Richard Rohwer, “Combining Facts and Expert Opinion in Analytical Models
via Logical and Probabilistic Reasoning,” USC CSE Technical Report TR-2006-12,
July 2006.
3.
Elizabeth T. Whitaker, Marco G. Valtorta, and
Michael N. Huhns, “Building and
Evaluating Analytical Models Using Case-Based Reasoning for Knowledge Discovery
and Bayesian Evidence Management,” NIMD Technical Report TP_GTRI_060418, April
2006.
4.
Michael N. Huhns and Larry M. Stephens,
“Dynamic Reconciliation of Semantics among Numerous Local Ontologies: A
Preliminary Report,” USC CIT Technical Report, May 2001. [PDF]
5. Michael N. Huhns, “Information Technology – Specification and
standardization of data elements—Part 2: Classification for data elements,”
ISO/IEC 11179-2 (international standard), for ISO/IEC JTC 1/SC32, December
1999. ISO/IEC TR 11179-2:2019 - Information
technology — Metadata registries (MDR) — Part 2: Classification
6. Kuhanandha Mahalingam and Michael N.
Huhns, “Representing and Using Ontologies,” USC CIT Technical Report 98-01,
January 1998. [PDF]
7. David M. Bridgeland and
Michael N. Huhns, “Distributed Truth Maintenance,” MCC Technical Report Number
ACT-RA-082-90, Microelectronics and Computer Technology Corporation, Austin,
TX, February 1990.
8. Natraj Arni, David M.
Bridgeland, James Christian, Michael N. Huhns, Charles J. Petrie Jr., Elaine
Rich, James Shea, and
9. Elaine Rich, Natraj Arni,
David M. Bridgeland, James Christian, Michael N. Huhns, Charles J. Petrie Jr.,
James Shea, and
10. Natraj Arni, David M.
Bridgeland, James Christian, Michael N. Huhns, Charles J. Petrie Jr., Elaine
Rich, James Shea, and
11. Michael N. Huhns and N.
Arni, “Distributed Reasoning among Expert Systems,” MCC Technical Report Number
ACT-AI-378-89, Microelectronics and Computer Technology Corporation,
12. Michael N. Huhns and Larry
M. Stephens, “Extended Composition of Relations,” MCC Technical Report Number
ACA-AI-376-88, Microelectronics and Computer Technology Corporation,
13. Michael N. Huhns and Larry
M. Stephens, “Knowledge Classification in CYC,” MCC Technical Report Number
ACA-AI-091-88-Q, Microelectronics and Computer Technology Corporation,
14. Michael N. Huhns and Ramon
D. Acosta, “Formulating and Retrieving Knowledge through Abstraction Extensions
to Explanation-Based Learning,” MCC Technical Report Number AI/CAD-038-88,
Microelectronics and Computer Technology Corporation, Austin, TX, January 1988.
[PDF]
15. Michael N. Huhns and Ramon
D. Acosta, “Argo User's Guide,” MCC Technical Report Number AI/CAD-158-87-Q,
Microelectronics and Computer Technology Corporation,
16. Michael N. Huhns and Ramon
D. Acosta, “Alternative Explanation Structures for Explanation-Based Learning,”
MCC Technical Report Number ACA/AI-CAD-079-88, Microelectronics and Computer
Technology Corporation, Austin, TX, March 1988. [PDF]
17. Michael N. Huhns and Ramon
D. Acosta, “Argo: An Analogical Reasoning System for Solving Design Problems,”
MCC Technical Report Number AI/CAD-092-87, Microelectronics and Computer
Technology Corporation, Austin, TX, March 16, 1987. [PDF]
18. Michael N. Huhns and Shiuh-li Liuh, “Using a TMS for
EBG,” MCC Technical Report Number AI-445-86, Microelectronics and Computer
Technology Corporation,
19. Michael N. Huhns, I. Lee,
Ronald D. Bonnell, and Larry M. Stephens, “Logical Data Modeling for the
Intelligent File System,” USCMI Technical Report 85-07, University of South
Carolina, Columbia, SC, June 1985.
20. U. Mukhopadhyay, M. N.
Huhns, R. D. Bonnell, and L. M. Stephens, “A Two-Layer Learning System for Document
Retrieval in Multiple-User Environments,” USCMI Technical Report 85-04,
University of South Carolina, Columbia, SC, March 1985. [PDF]